Data Science Foundations

Data science refers to _______________.

• the practice of collecting data and find insights from data

• presenting data in a visually appealing way

• designing, setting up, and maintaining large collections of data called databases

• gathering and measuring data, which can include surveys and other collection tools

Data collection, database management, and data visualization are the _______________.

• steps a research analyst takes before starting their research

• steps a data scientist takes before determining usable results

• practices a data analyst must use to be credible

• none of the above

Data science is a growing career field because __________________.

• as many as two-thirds of companies are expanding their data science teams every year

• hiring for artificial intelligence has almost doubled over the last few years

• employers struggle to train, hire, and keep qualified talent

• all of the above

Tags

CCSS.RL.8.1

CCSS.RI.8.1

CCSS.RI.8.8

CCSS.RL.11-12.1

CCSS.RL.9-10.1

Which of the following steps does a data scientist take first before they can provide data that's useful for decision-making purposes?

• collect data

• clean data

• analyze data

• visualize data

In order for a data scientist to make recommendations, their data must be _____________________.

• clean, accurate, and representative

• incomplete, inconsistent, and manipulated

• saying what I want it to say

• none of the above

A data scientist takes the following chronological steps before they can provide data that's useful for decision-making purposes:

• collect data, clean data, visualize data, analyze data, then make recommendations

• collect data, clean data, visualize data, make recommendations, then analyze data

• collect data, clean data, analyze data, make recommendations, then visualize data

• collect data, clean data, analyze data, visualize data, then make recommendations

. Data scientists identify ____________ and _______________in data to address business problems.

• outliers; customer feedback

• customer feedback; trends

• customer feedback; patterns

• trends; patterns

Tags

CCSS.RI.11-12.5

CCSS.RI.6.5

CCSS.RI.7.5

CCSS.RI.8.5

CCSS.RI.9-10.5

Which of the following methods is a data scientist least likely to use to address business problems?

• Identifying trends in a dataset

• Identifying patterns in a dataset

• Analyzing feedback from 10,000 out of 50,000 customers

• Analyzing feedback from 50 out of 50,000 customers

____________ analytics refer to observations based on data while ___________ analytics refers to using data to help determine what may happen in the future.

• Proactive; reactive

• Predictive; descriptive

• Reactive; proactive

• Descriptive; predictive

What is the difference between descriptive and predictive analytics?

• predictive analytics refer to observations based on data while descriptive analytics refers to using data to help determine what may happen in the future.

• descriptive analytics refer to observations based on data while predictive analytics refers to using data to help determine what may happen in the future

• both terms are used synonymously

• none of the above